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  • 标题:A STUDY SURVEY OF PRIVACY PRESERVING DATA MINING.
  • 本地全文:下载
  • 作者:Shweta Shrma ; Hitesh Gupta ; Priyank Jain
  • 期刊名称:International Journal of Research and Innovation in Computer Engineering
  • 电子版ISSN:2249-6580
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:231-234
  • 出版社:Innovation Science Publications
  • 摘要:Data mining is the extraction of interesting patterns or knowledge from huge amount of data. In recent years, with the explosive development in Internet, data storage and data processing technologies, privacy preservation has been one of the greater concerns in data mining. In recent years, privacy-preserving data mining has been studied extensively, because of the wide proliferation of sensitive information on the Internet. A number of methods and techniques have been developed for privacy preserving data mining. This paper provides a wide survey of different privacy preserving data mining algorithms and analyses the representative techniques for privacy preserving data mining, and points out their merits and demerits. Finally the present problems and directions for future research are discussed.
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